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Image quality evaluation for a clinical organ-targeted PET camera

Brandon Baldassi, Harutyun Poladyan, Anirudh Shahi, Henry Maa-Hacquoil, Madeline Rapley, Borys Komarov, Justin Stiles, Vivianne Freitas, Michael Waterston, Olexiy Aseyev, Alla Reznik, Oleksandr Bubon

2024Frontiers in Oncology11 citationsDOIOpen Access PDF

Abstract

Introduction: A newly developed clinical organ-targeted Positron Emission Tomography (PET) system (also known as Radialis PET) is tested with a set of standardized and custom tests previously used to evaluate the performance of Positron Emission Mammography (PEM) systems. Methods: Imaging characteristics impacting standardized uptake value (SUV) and detectability of small lesions, namely spatial resolution, linearity, uniformity, and recovery coefficients, are evaluated. Results: F-FDG) and time-delayed acquisitions. SUV measurements were performed for selected clinical acquisitions to demonstrate a capability for quantitative image assessment of different types of cancer including for invasive lobular carcinoma with comparatively low metabolic activity. Quantitative imaging performance assessment with phantoms demonstrates improved contrast recovery and spill-over ratio for this PET technology when compared to other commercial organ-dedicated PET systems with similar spatial resolution. Recovery coefficients were measured to be 0.21 for the 1 mm hot rod and up to 0.89 for the 5 mm hot rod of NEMA NU-4 Image Quality phantom. Discussion: Demonstrated ability to accurately reconstruct activity in tumors as small as 5 mm suggests that the Radialis PET technology may be well suited for emerging clinical applications such as image guided assessment of response to neoadjuvant systemic treatment (NST) in lesions smaller than 2 cm. Also, our results suggest that, while spatial resolution greatly influences the partial volume effect which degrades contrast recovery, optimized count rate performance and image reconstruction workflow may improve recovery coefficients for systems with comparable spatial resolution. We emphasize that recovery coefficient should be considered as a primary performance metric when a PET system is used for accurate lesion size or radiotracer uptake assessments.

Topics & Concepts

Imaging phantomPositron emission tomographyNuclear medicineImage qualityStandardized uptake valueImage resolutionClinical imagingBiomedical engineeringMedicineMedical physicsRadiologyComputer scienceArtificial intelligenceImage (mathematics)Medical Imaging Techniques and ApplicationsRadiomics and Machine Learning in Medical ImagingOptical Imaging and Spectroscopy Techniques
Image quality evaluation for a clinical organ-targeted PET camera | Litcius